Land and Climate Goals€¦ · Cumulative differences in global land carbon stock (a) and land N 2O...
Transcript of Land and Climate Goals€¦ · Cumulative differences in global land carbon stock (a) and land N 2O...
© 2016 Electric Power Research Institute, Inc. All rights reserved.
StevenRose
EnergyandEnvironmentalAnalysisResearchGroup
Snowmass,COJuly21,2016
LandandClimateGoals
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Topics
§ Emissionssourceandabatementpoten9al
§ Realityandtryingtomodelitbe<er
§ Addi9onalmodelingissues
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Emissionssourceandabatementpoten@al§ Prominentemissionssource§ Significantes9matedlong-runcost-effec9veabatementpoten9al– e.g.,370-1250GtCO2cumula9veabatement2010-2100,15-40%oftotalabatement(ag,forest,&bioenergy)
§ Land-basedmi9ga9onexplicitlyincludedinmanyNDCs(n=117),e.g.,China,India,U.S.
§ But,– Significantvaria9oninresults(abatementandland-use)– Decliningabatementrolewithincreasedambi9on– Mostprojectedabatementoccurringindevelopingandtransi9onalcountries– Idealizedpolicyassump9ons–immediate,comprehensiveglobalCO2epricingonalllandac9vi9es
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Significantabatementpoten@al
IPCCAR5WG3Ch6(2014)
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Land-usechangeuncertainty2030land-usechangeswithrespectto2005
IPCCAR5WG3Ch11(2014)
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Bioenergy–landGHGtrade-offacceptableoverlong-run
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By2050 By2100 By2050 By2100
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Diffe
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stock(GtCO
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By2050 By2100 By2050 By2100
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mulativeland
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Cumulative differences in global land carbon stock (a) and land N2O emissions (b) with default versus constrained bioenergy
Land carbon stock Land N2O emissions
Models are trading-off land carbon and increased N2O emissions for long-run
climate benefit of bioenergy
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Reality
§ Accessingland-basedabatementpoten9alwillbedifficult§ Policyimplementa9onwillbechallenging– Coordina9on–sectors,regions,op9ons,9me,non-climatepolicies– Ins9tu9ons– Instruments
§ Issues– Leakage– Costs– Non-climatesocialconcerns
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Coordina@onchallengeb/wbioenergyandforest/agmi@ga@on
WITH global terrestrial carbon price From stabilization scenario with energy crop bioenergy incentives WITHOUT global terrestrial carbon price
Wise et al. (2009)
Price or protect all terrestrial carbon?
How?
Effect on the cost of bioenergy?
Other bioenergy feedstocks?
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Coordina@onchallengeacrossregions
Staggered regional climate policies (w/ global terrestrial
carbon pricing) could produce land conversion
and emissions
Biomassfeedstock
land
Calvin et al. (2009)
Global land use in 2.6 W/m2 Delayed Accession with Overshoot scenario
(and terrestrial carbon pricing)
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Coordina@onchallengeacrossregionsandac@vi@es
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2005 2015 2025 2035 2045 2055G
tCO
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IdealAfforestationDC1 - developing aff to 2025DC2 - aff to 2025DC3 - nothing to 2025
Cumulative global forest carbon gains over time with different global forest carbon policy designs
($15/tCO2 + 5%/yr)
Idealized policy
Partial and delayed policies
Developed from Rose and Sohngen (2011)
Partial and/or delayed global forest carbon policies
could accelerate deforestation
Competition b/w avoided deforestation and afforestation, but
complementarities b/w afforestation and forest
management
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Coordina@onchallengeacrossregionsandac@vi@es
$0
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GtCO2 /year
Brazil 2020 Intl Market Avoided Deforestation Supply
Economic potential
Sectoral-adjusted
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WithoutBrazilNAMAWithBrazilNAMAWithBrazilNAMAandDR
ROW 2020 Forest Sequestration Supply
Brazil avoided deforestation (RED) policy…
• Reduces international abatement supply
• Drives up forest carbon abatement costs for others
Copenhagen commitment: Reduce deforestation rate 80% by 2020 compared with the average rate over the
decade 1996–2005 (19,508 km2/year)
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Ins@tu@onsaffectcosts–abatementprojectrisks
0%
20%
40%
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80%
100%
Russia
Canada
Mexico and Tanzania Afforestation Russia & Canada Biomass Heat or Power
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40%
60%
80%
100%
Mexico
Tanzania
Rose et al. (in prep)
Projects have costs beyond those captured in global economic modeling – e.g., country and technology risks, transactions costs
100%=norisk
Current carbon project investment risks are
significant
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Ins@tu@onsaffectcosts–abatementprojectrisks
Cumulative Carbon Gains* Above Baseline by 2020 ($15/tCO2)
Economicpotential(GtCO2)
Marketpotential(GtCO2)
%ofeconomicpotential
Prescribeddeliveryrate
India 11.6 10.6 91% 50%SEAsia 8.7 0.5 6% 37%Sub-SaharanAfrica 7.3 1.4 19% 22%RestofSAmerica 6.3 3.4 55% 38%Brazil 5.7 4.2 73% 46%China 4.5 4.2 94% 50%Russia 3.1 2.0 63% 51%Oceania 2.6 0.8 31% 29%CAmerica 2.6 2.5 97% 38%EAsia 2.2 0.2 10% 35%SAsia 0.6 0.1 16% 28%NAfrica/MiddleE 0.6 0.5 82% 25%Group2Total 55.7 30.4 55% n/a
* Note: Includes additional aboveground and below ground carbon sequestration
Risks change abatement supply
costs and importance of regions and technologies
Rose et al. (in prep)
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PolicyinstrumentmaQers–mandatoryvs.voluntaryabatementincen@ves
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$/tCO
2e
MtCO2e/year(annualized)
U.S. Forest GHG Mitigation Supply
Credit supply and net mitigation will depend on
the type of incentive!
With voluntary participation incentives, abatement likely
(a) less than with mandatory participation incentives, and (b) less than the credits supplied.
Voluntary part. credits (w/ no add’l req)
Voluntary part. Abatement (w/ no
add’l req)
Vol. part. credits/abatement (w/
perfect crediting)
Mandatory participation
Rose et al. (in prep)
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Non-marketpolicyinstruments?
§ E.g.,landmanagementbestprac9cesorconserva9on(maybewithmul9pleobjec9ves)
§ Pragma9c?Economicallyefficient?§ Implementa9ons9llachallenge.Sameissueslurking:– Coordina9on– Ins9tu9ons– Instruments
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Coordina@onchallengewithnon-climatepoliciesSomenon-climatepolicies§ Sustainabledevelopment§ Farm§ Conserva9on§ Trade§ R&D
Otherland-relatedsocialconcerns§ Food§ Fiber§ Water§ Soil§ Biodiversity§ Income§ Culture
E.g., bioenergy could drive up prices and motivate land conversion, so could forest protection or
enhancement, together even more so
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Coordina@onchallengewithnon-climatepolicies
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Intensiveforestch
ange
RegionalrelativecropTFPgrowth
AEZ1 AEZ2
AEZ3 AEZ4
AEZ5 AEZ6
Future agricultural productivity
improvements could result in increased
deforestation
Rose, Golub, Sohngen (2013)
Regions & AEZs with crop TFP
growth greater than global average
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Addi@onalmodelingissues
§ Historicaluncertainty–ignored,yetlarge– Biophysical–landconversion,carbondensi9es,marginallandproduc9vity– Economic–landextensifica9on&intensifica9onbehavior,agriculturalproduc9vitychanges
§ Technologicalchange–howitismodeledma<ers– PFPvTFP:landsavingvlandusing.HistorysuggestsTFPchanging.
§ Expecta9onsaboutfuturemarkets
§ Land-useconversionconstraints–hidden,butcanbesignificant
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Historicalunderstandingpoore.g.,1990snetland-use/coverchangeemissions
Houghton et al. (2012)
1990s
1.3 +/- 0.23 PgC/yr
(across studies)
Differences in LULCC rates and area, C densities,
included processes,
environmental change
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Futuremarkets–expecta@ons
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CumulativeGtCO
2
Economic($15)
Economic($15+5%capped)
Economic($15+5%)
Economic(gradualrising)
Cumulative global forest carbon gains over time
Expectations of higher future carbon
prices can delay forest carbon gains.
Rose et al. (in prep)
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Concludingthoughts§ Itwillbechallengingtoabatewithlandonalargeglobalscale–withmarketornon-marketpolicies– Significantpolicyimplementa9onanddesignchallengesthataffectmi9ga9oncostsandnetGHGbenefits
– Substan9alnear-termabatementseemsunlikely
§ Somenear-termpainmaybenecessaryforlong-termclimategain– Significantpoten9althatoverlong-runcouldbenetbeneficial
§ Morerealis9cmodelingneededtoproperlyevaluateland’srole– Ourunderstandingisfairlylimited
§ Importantmodelingissuestoconsider– Includinguncertain9esinourbasicscien9ficunderstanding